Building an indoor air quality monitoring system based on the architecture of the Internet of Things

Abstract With rapidly changing technology, people have more and more requirements for thermal comforts regarding indoor temperature, humidity, and wind speed, and pay more attention to air quality. Indoor air quality has serious effects on the elderly, children, and those with respiratory allergies....

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Main Authors: Wen-Tsai Sung, Sung-Jung Hsiao
Format: Article
Language:English
Published: SpringerOpen 2021-07-01
Series:EURASIP Journal on Wireless Communications and Networking
Subjects:
Online Access:https://doi.org/10.1186/s13638-021-02030-1
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spelling doaj-5d2eaeedc9ee4877b9e62f6e8880f4e42021-07-18T11:09:26ZengSpringerOpenEURASIP Journal on Wireless Communications and Networking1687-14992021-07-012021114110.1186/s13638-021-02030-1Building an indoor air quality monitoring system based on the architecture of the Internet of ThingsWen-Tsai Sung0Sung-Jung Hsiao1Department of Electrical Engineering, National Chin-Yi University of TechnologyDepartment of Information Technology, Takming University of Science and TechnologyAbstract With rapidly changing technology, people have more and more requirements for thermal comforts regarding indoor temperature, humidity, and wind speed, and pay more attention to air quality. Indoor air quality has serious effects on the elderly, children, and those with respiratory allergies. Based on the architecture of the Internet of Things smart home, this study constructed an indoor air quality monitoring system to explore how people can live in an environment with good air quality. Among the numerous air quality indices (AQIs), the carbon dioxide index and AQI of the American Society of Heating, Refrigerating and Air-Conditioning Engineers are selected as the indices suitable for this study. The common points of the two indices are combined, and then, based on the data of the Environmental Protection Administration, indoor and outdoor environmental parameters are analyzed, and controllable environment variables are simulated to analyze their effects on air quality. This study designed effective load control using fuzzy control and developed a fuzzy rule base for simulation of the environment variables. Decision logic was used to replace the threshold control of indoor air quality in the past, and a comfortable air quality monitoring system was designed by combining the Arduino Uno development board and ESP8266 Wi-Fi wireless transmission modules.https://doi.org/10.1186/s13638-021-02030-1Internet of Things (IoT)Smart homeAir qualityFuzzy controlWireless transmission
collection DOAJ
language English
format Article
sources DOAJ
author Wen-Tsai Sung
Sung-Jung Hsiao
spellingShingle Wen-Tsai Sung
Sung-Jung Hsiao
Building an indoor air quality monitoring system based on the architecture of the Internet of Things
EURASIP Journal on Wireless Communications and Networking
Internet of Things (IoT)
Smart home
Air quality
Fuzzy control
Wireless transmission
author_facet Wen-Tsai Sung
Sung-Jung Hsiao
author_sort Wen-Tsai Sung
title Building an indoor air quality monitoring system based on the architecture of the Internet of Things
title_short Building an indoor air quality monitoring system based on the architecture of the Internet of Things
title_full Building an indoor air quality monitoring system based on the architecture of the Internet of Things
title_fullStr Building an indoor air quality monitoring system based on the architecture of the Internet of Things
title_full_unstemmed Building an indoor air quality monitoring system based on the architecture of the Internet of Things
title_sort building an indoor air quality monitoring system based on the architecture of the internet of things
publisher SpringerOpen
series EURASIP Journal on Wireless Communications and Networking
issn 1687-1499
publishDate 2021-07-01
description Abstract With rapidly changing technology, people have more and more requirements for thermal comforts regarding indoor temperature, humidity, and wind speed, and pay more attention to air quality. Indoor air quality has serious effects on the elderly, children, and those with respiratory allergies. Based on the architecture of the Internet of Things smart home, this study constructed an indoor air quality monitoring system to explore how people can live in an environment with good air quality. Among the numerous air quality indices (AQIs), the carbon dioxide index and AQI of the American Society of Heating, Refrigerating and Air-Conditioning Engineers are selected as the indices suitable for this study. The common points of the two indices are combined, and then, based on the data of the Environmental Protection Administration, indoor and outdoor environmental parameters are analyzed, and controllable environment variables are simulated to analyze their effects on air quality. This study designed effective load control using fuzzy control and developed a fuzzy rule base for simulation of the environment variables. Decision logic was used to replace the threshold control of indoor air quality in the past, and a comfortable air quality monitoring system was designed by combining the Arduino Uno development board and ESP8266 Wi-Fi wireless transmission modules.
topic Internet of Things (IoT)
Smart home
Air quality
Fuzzy control
Wireless transmission
url https://doi.org/10.1186/s13638-021-02030-1
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